AICL — Umqinga Welayisensi Yokuqukethwe kwe-AI
Ilayisensi Yokuqukethwe kwe-AI / Umqinga Welayisensi Yokuqukethwe kwe-AI
Iguqulela amalungelo aziswako abe lilayisensi elisebenzako: cela inani, khokha, qinisekisa, hlola, hoxisa.
01 · Incazelo
I-AICL mmqinga welayisensi neentengiselwano owakhelwe phezu kwe-AICR. Lapho i-AICR ichaza khona bona yini evunyelweko, i-AICL ichaza indlela imvumo ethathwa ngayo ngempela: amazinga wamalayisensi namanani, iindawo zokucela inani nezokukhokha, iitokheni zelayisensi ezisayinilweko, amarekhodi wokusetjenziswa nawokuhlolwa, kanye nokuhoxiswa. Yenzelwe ukusebenzelana namaqhinga wokukhokha yimitjhini asakhulako afana neengcubungulo ze-HTTP 402 kanye namasikimu we-pay-per-crawl, ikhokhelo lama-ejenti ligcinwa ngaphakathi kwebhajethi evunyelwe mumuntu kanye neemzila zokuhlolwa.
02 · Umnqopho
- Guqula iinzaziso zamalungelo zibe yimakethe yelayisensi esebenzako kunokuba newebhu ye-binary evulekileko/evaliweko.
- Yenza kufane umgudu we-mitjhini-kuya-emitjhini: fumana umthetho → cela inani → thola ilayisensi → sebenzisa → hlolwa.
- Gcina iinkhokhelo zama-ejenti zinemikhawulo: iibhajethi, imikhawulo yemvumo, iitokheni ezibotjhelelwe emcelweni, amarekhodi apheleleko wokuhlolwa.
- Nikela abanikeli bokuqukethwe indlela eya esikhokhisweni ngaphandle kokuvala amasayidi wabo ku-AI.
03 · Ibanga
Ikhathalogu Yamalayisensi — amazinga wamaqoqo wamalungelo anamanani nemibandela
Iindawo Zokucela Inani / Ukukhokha / Ukuqinisekisa / Ukuhoxisa
Iitokheni Zelayisensi Ezisayinilweko Ezibotjhelelwe Kumceli, Ibanga, Nesikhathi
Amarekhodi Wokusetjenziswa Kanye Neemzila Zokuhlolwa
Ukusebenzelana kwe-HTTP 402 “Kudingeka Ikhokhelo”
Imithetho Yokuvikeleka: Akukho i-AI Esebenza Ngedatha Yekhadi Eluhlaza, Imikhawulo Yemvumo Yomuntu
04 · Isibonelo esifundeka yimitjhini
Amalayisensi Wale Sayidi Ngokwayo — /.well-known/aicl.json
{
"version": "0.1",
"publisher": "AGIRight.org",
"licenses": [
{
"id": "public_read_summary",
"rights": ["read", "summarize", "quote"],
"price": { "amount": "0", "currency": "USD" },
"conditions": [
"attribution_required",
"no_model_training",
"no_commercial_redistribution"
]
},
{
"id": "research_rag",
"rights": ["read", "summarize", "rag"],
"price": { "amount": "0", "currency": "USD" },
"conditions": [
"attribution_required",
"retention_days_30",
"no_model_training"
]
},
{
"id": "commercial_or_training_license",
"rights": ["training", "commercial_use"],
"requires_contact": true,
"contact": "contact@agiright.org"
}
]
} 05 · Imikhawulo
- Le sayidi ayisebenzisi isango lokukhokha; amalayisensi wokuthengiselana asekelwe ekuthintaneni ku-v0.1.
- I-AICL sisiphakamiso sephrothokholo — ayiqiniseki bona amakampani we-AI azokhokha.
- Ukuthobela imithetho yeenkhokhelo, iintela, kanye nokulawulwa kwezezimali kungaphandle kwebanga leli drafu.
- Iifomethi zeetokheni neencazelo zeendawo zokuhlanganisa zisesengcoceni begodu kungenzeka zitjhugulule.
Inothi lokuthiywa
Ecwaningweni langaphambili le-EveMissLab, isifitjhaniso i-AICL nayo iqamba i-“AI Ingestion & Capability Layer” — umqinga wesakhiwo wendlela amasistimu we-AI afunda ngayo begodu abize amawebhusayidi (imiqinga engaphasi ye-manifest, i-corpus, ikghono, nokulawulwa). Kule sayidi, i-AICL isho Umqinga Welayisensi Yokuqukethwe kwe-AI ngaphandle kobana kutjhiwo tjhini ngokukhanyako; umsebenzi womqinga wokuthatha upapashwe njengephepha elimhlophe elihlukileko.